Research Papers Win Awards at Prestigious Conferences

Two CSE research teams have recently been recognized with Best Paper
Award and Best Student Poster Award respectively at World's Prestigious
Conferences on Computer Science.

The paper "Opportunity-based Topology Control in Wireless Sensor
Networks" co-authored by Yunhuai LIU, Dr. Qian
ZHANG and Prof. Lionel M. NI beat over 600 other
papers to win the Best Paper Award at the IEEE International Conference on
Distributed Computing Systems 2008 in Beijing.

This Opportunity-based Topology Control system effectively improves the
energy efficiency of wireless sensor networks (WSNs). "Traditional
approaches are based on the deterministic network model that assumes
wireless links are either connected or disconnected. As a result, the
network behavior results based on this deterministic network model cannot
reflect the performances realistically." In order to solve the problem,
they proposed a new probabilistic network model using several heuristic
algorithms which show promising results.

ICDCS is an IEEE
Computer Society sponsored premier conference with a wide coverage of
topics in Distributed Computing. It has a long history of significant
achievements and worldwide visibility. The conference provides a forum for
engineers and scientists in academia, industry and government to present
their latest research findings in any aspects of distributed and parallel
computing.

Another award-winning team involves Jia CHEN, Lu YUAN and Dr. Chi-Keung TANG and Prof. Long
QUAN from the Visgraph research group. Their research paper "Robust
Dual Motion Deblurring" received the Best Student Poster Award at the IEEE
Computer Society Conference on Computer Vision and Pattern Recognition
(CVPR) held in Alaska.

This paper targets at motion deblurring problem for digital photograph
- removing photo blur caused by camera shake. It doesn't require
professional DSLR functions or any other special hardware, thus providing
great convenience for consumer level photography. The algorithm of this
paper is based on solid analysis of the state-of-the-art approaches and
novel use of robust techniques to make big improvements.

The IEEE CVPR conference is
one of the best three vision conferences all over the world (the other two
are ICCV and ECCV). Our lab has consistent publications on this conference
every year. This award is the first award we've got from CVPR but not the
last.